• Detection of weak impact fault is difficult but very important in mechanical fault diagnosis, and it is the major tool for early diagnosis.

    弱冲击故障检测是故障诊断中既困难又十分重要的研究课题,是实现故障早期诊断的基本手段。

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  • Some methods of judging mechanical fault using spectrogram are introduced.

    介绍了利用波谱图判断机械故障的几种方法。

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  • Bispectrum and correlation spectrum are excellent for some mechanical fault forms.

    三阶谱与相关谱对某些故障的分析很有效。

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  • Transducer fault detection plays an important role in the mechanical fault diagnosis system.

    传感器故障检测在机械故障诊断系统中具有重要意义。

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  • The study of wearing rules and mechanical fault diagnoses is based on wear particle analysis.

    磨损规律和机械故障诊断等研究都离不开磨粒分析技术。

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  • It is difficult to find the causes of failure for the mechanical fault maintenance of CNC machine.

    数控机床机械故障维修的难点是查找故障产生的原因。

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  • It is important to exactly extract impulse response information from complex vibration signals for mechanical fault diagnosis.

    在复杂的振动信号中准确提取出冲击响应信息在机械故障诊断中具有重要的意义。

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  • In this paper, several time domain waveforms of vibration signal and its identification method in mechanical fault diagnosis are analysed.

    本文主要论述了机械故障诊断中,几类振动信号时域波形的分析与识别方法。

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  • The results show that the method of the mechanical fault diagnosis based on fractal theory is more sensitive to initial fault type of complicated mechanical system.

    研究结果表明:基于分形的机械故障诊断方法对复杂机械系统的早期故障更为敏感。

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  • The analysis results show that the energy operator demodulating approach based on EMD can extract the characteristics of mechanical fault vibration signals efficiently.

    对机械故障振动信号的分析结果表明,基于EMD的能量算子解调法能有效地提取机械故障振动信号的特征。

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  • The structure and algorithm of artificial neural network model were described, and the model and learning-procedure of mechanical fault diagnosis neural network were designed.

    阐述了人工神经网络模型的一般结构和算法,并设计了机械故障诊断神经网络的模型和学习过程。

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  • For the limitations of traditional methods in the mechanical fault diagnosis, it is proposed in this paper that the artificial neural network is used in the mechanical fault diagnosis.

    针对传统的机械故障诊断方法的局限性,提出将人工神经网络应用于机械故障诊断中。

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  • According to this theory, this paper gives an instance for analyzing a vibration signal of reciprocating compressor valve. The method is fairly effective in mechanical fault recognition.

    借此理论,本文对较为复杂的往复式空气压缩机气阀振动信号作了分析,探讨了用于故障气阀自动识别的方法,收到了较好的效果。

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  • Blind Sources Separation (BSS) provides a new alterative for extraction of certain signal components in the signal corrupted by noise, and presents a new method for mechanical fault diagnosis.

    盲源分离应用于机械振动信号的预处理中,提供了一个新的处理机制,在机械状态监测和故障诊断中具有一定的价值。

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  • This paper connected the fractal theory with the mechanical fault diagnosis, discussed the basic concept of the fractal dimension, introduced the concept of gridding dimension and its solution.

    将分形的有关理论与机械故障诊断联系起来,论述了分形维数的基本概念,介绍了网格维数及其求取方法。

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  • Mechanical fault diagnosis and monitoring plays an increasingly important position in industrial production.

    机械故障诊断和监测在工业生产中占有越来越重要的地位。

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  • Mechanical fault diagnosis and monitoring plays an increasingly important position in industrial production.

    机械故障诊断和监测在工业生产中占有越来越重要的地位。

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